TABLE 5.

Performance for models with nonuniform crossing over and uniform gene conversion with unphased data

γa	ρa	g(γ)b	g(ρ)b	B(γ)c	B(ρ)c	E()d	E()d	V(γ)e	V(ρ)e
Hudson's composite-likelihood method
20	20	0.420	0.972	0.780	0.509	12.499	20.320	0.986	0.448
60	20	0.592	0.958	0.763	0.413	39.479	22.390	0.668	0.533
80	20	0.636	0.948	0.776	0.418	59.159	22.102	0.611	0.535
20	40	0.288	0.964	0.841	0.654	9.440	37.000	1.047	0.360
40	40	0.384	0.984	0.853	0.578	18.940	39.720	0.856	0.356
Summary statistics method
20	20	0.578	0.938	0.501	0.528	24.482	21.220	1.208	0.598
60	20	0.732	0.866	0.529	0.498	66.330	22.578	0.745	0.773
80	20	0.772	0.832	0.518	0.486	84.518	24.412	0.600	0.911
20	40	0.458	0.894	0.549	0.695	25.312	36.030	1.462	0.457
40	40	0.608	0.88	0.561	0.623	42.800	38.464	0.974	0.503

^aγ and ρ denote the true values of the gene-conversion and crossing-over rates under which 500 data sets were simulated.

^bg(γ) and g(ρ) denote the fraction of the data sets for which the estimates of gene conversion () and crossing over () lie within a factor of 2 of the true values (i.e., γ and ρ), respectively.

^cB(γ) and B(ρ) denote the fraction of times the estimates of gene conversion and crossing over are lower than the true values, given that they are not equal to the true values.

^dE() and E() denote the mean of the estimates of gene-conversion and crossing-over rates.

^eV(γ) and V(ρ) denote the root mean square relative error for the estimates.